OAI/Analysis/KadisonKastler/MatrixNearCommutant.lean
7 declarations, 0 contain sorry, 0 declared as axioms
Commutant estimates from individual matrix approximants
A matrix approximant from N commutes entrywise with a contraction in
N′. The complete commutator is therefore bounded by twice the matrix
error. The commutant distance formula gives distance at most
that error to M′; normalization costs a further factor two for unit balls.
No linear map selecting the matrix approximants is assumed.
- theorem
OAI.KadisonKastler.MatrixNearInclusion.scaled_squareline 38Source documentation
Individual approximants scale with the norm of the input matrix.
theorem scaled_square (h : MatrixNearInclusion M N γ) (n : ℕ) (X : CStarMatrix (Fin n) (Fin n) (H →L[ℂ] H)) (hX : ∀ i j, X i j ∈ M) : ∃ Y : CStarMatrix (Fin n) (Fin n) (H →L[ℂ] H), (∀ i j, Y i j ∈ N) ∧ ‖X - Y‖ ≤ γ * ‖X‖ := by …Mentions: OAI.KadisonKastler.MatrixNearInclusion
- theorem
OAI.KadisonKastler.MatrixNearInclusion.mapped_derivation_eqline 62 - theorem
OAI.KadisonKastler.MatrixNearInclusion.commutant_complete_boundline 80Source documentation
Matrix proximity bounds the full derivation of a neighboring commutant contraction, uniformly at every rectangular matrix level.
theorem commutant_complete_bound (h : MatrixNearInclusion M N γ) (hγ : 0 ≤ γ) (a : H →L[ℂ] H) (ha : a ∈ N.commutant) (han : ‖a‖ ≤ 1) : CompletelyBoundedBy ((innerDerivation a).comp M.toStarSubalgebra.subtype.toLinearMap) (2 * γ) := by …Mentions: OAI.KadisonKastler.MatrixNearInclusion, OAI.KadisonKastler.CompletelyBoundedBy, OAI.KadisonKastler.innerDerivation
- theorem
OAI.KadisonKastler.MatrixNearInclusion.commutant_infDist_leline 113Source documentation
The factor one-half in the complete commutator distance formula cancels the factor two in the preceding estimate.
theorem commutant_infDist_le (h : MatrixNearInclusion M N γ) (hγ : 0 ≤ γ) (hPublished : PublishedBlockCommutantApproximation (Algebra M) H) (a : H →L[ℂ] H) (ha : a ∈ unitBall N.commutant) : Metric.infDist a (M.commutant : Set (H →L[ℂ] H)) ≤ γ := by …Mentions: OAI.KadisonKastler.MatrixNearInclusion, OAI.KadisonKastler.PublishedBlockCommutantApproximation, OAI.KadisonKastler.Algebra, OAI.KadisonKastler.unitBall
- theorem
OAI.KadisonKastler.MatrixNearInclusion.commutant_nearInclusionline 128Source documentation
The algebra near-inclusion is contravariant and needs no normalization loss. The larger constant is needed only for proximity of unit balls.
theorem commutant_nearInclusion (h : MatrixNearInclusion M N γ) (hγ : 0 ≤ γ) (hPublished : PublishedBlockCommutantApproximation (Algebra M) H) {η : ℝ} (hγη : γ < η) : NearInclusion N.commutant M.commutant η := …Mentions: OAI.KadisonKastler.MatrixNearInclusion, OAI.KadisonKastler.PublishedBlockCommutantApproximation, OAI.KadisonKastler.Algebra, OAI.KadisonKastler.NearInclusion
- theorem
OAI.KadisonKastler.MatrixNearInclusion.exists_commutant_unitBall_approxline 136Source documentation
Normalization yields a commutant unit-ball approximant with any error strictly larger than twice the matrix gap.
theorem exists_commutant_unitBall_approx (h : MatrixNearInclusion M N γ) (hγ : 0 ≤ γ) (hPublished : PublishedBlockCommutantApproximation (Algebra M) H) (a : H →L[ℂ] H) (ha : a ∈ unitBall N.commutant) {η : ℝ} (hγη : 2 * γ < η) : ∃ b ∈ unitBall M.commutant, ‖a - b‖ < η := by …Mentions: OAI.KadisonKastler.MatrixNearInclusion, OAI.KadisonKastler.PublishedBlockCommutantApproximation, OAI.KadisonKastler.Algebra, OAI.KadisonKastler.unitBall
- theorem
OAI.KadisonKastler.MatrixNearInclusion.commutant_kkDistance_leline 149Source documentation
Two-sided matrix proximity controls the ordinary commutant gap.
theorem commutant_kkDistance_le (hMN : MatrixNearInclusion M N γ) (hNM : MatrixNearInclusion N M γ) (hγ : 0 ≤ γ) (hM : PublishedBlockCommutantApproximation (Algebra M) H) (hN : PublishedBlockCommutantApproximation (Algebra N) H) : kkDistance M.commutant N.commutant ≤ 2 * γ := by …Mentions: OAI.KadisonKastler.MatrixNearInclusion, OAI.KadisonKastler.PublishedBlockCommutantApproximation, OAI.KadisonKastler.Algebra, OAI.KadisonKastler.kkDistance